Package: ClustAssess
Type: Package
Title: Tools for Assessing Clustering
Version: 0.1.1
Authors@R: c(person("Arash", "Shahsavari", email="as3006@cam.ac.uk",
                  role = c("aut", "cre")), person("Irina", "Mohorianu",
                  email="iim22@cam.ac.uk", role="aut"))
Maintainer: Arash Shahsavari <as3006@cam.ac.uk>
Description: A set of tools for evaluating clustering similarity across methods 
    and method stability using element-centric clustering comparison (Gates et 
    al. (2019) <doi:10.1038/s41598-019-44892-y>). Additionally, this package 
    enables data-wide assessment of clustering robustness using proportion of
    ambiguously clustered pairs (Senbabaoglu et al. (2014) 
    <doi:10.1038/srep06207>), which can be used to infer the optimal number of 
    clusters in the data.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: ggplot2, dplyr, fastcluster, rlang, Matrix, igraph, magrittr,
        Rcpp, methods, stats
RoxygenNote: 7.1.1
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, e1071, dbscan, dendextend, Seurat
URL: https://github.com/Core-Bioinformatics/ClustAssess
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-03-31 15:18:42 UTC; Arash
Author: Arash Shahsavari [aut, cre],
  Irina Mohorianu [aut]
Repository: CRAN
Date/Publication: 2021-03-31 16:40:03 UTC
Built: R 4.0.5; x86_64-w64-mingw32; 2021-05-15 11:32:00 UTC; windows
Archs: i386, x64
